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Technology · Platform and architecture
How the SIWOM platform works.
How SIWOM Logistics is being built, and the research behind Global Trade and Safety. Every section carries its real status.
Architecture
Actively being built and validated. Not yet generally available.One foundation, four layers.
Data flows from the systems and sensors a site already has, through the SIWOM platform and an intelligence layer, to people who make the decisions.
Diagram: data from fleet and shipment systems, cameras, sensors, warehouse and port systems and external APIs flows into the SIWOM platform, then an intelligence layer, and ends with people making decisions through dashboards, alerts, reports and approved integrations.
01 Data sources
- Fleet and shipment systems (in development)
- Cameras and inspection images (planned)
- Sensors and telemetry (planned)
- Warehouse and port systems (planned)
- Supplier catalogues and trade documents (planned)
- External APIs (in development)
02 SIWOM platform
- Operational data (in development)
- Maps and asset tracking (in development)
- Event processing (in development)
- Workflow and permissions (planned)
03 Intelligence layer
- Route and dispatch optimisation (in development)
- Supplier matching and domestic alternatives (planned)
- Computer vision (planned)
- Anomaly and exception detection (in development)
- Predictive analytics where data supports it (planned)
04 Human decisions and connected systems
- Operator dashboards (in development)
- Alerts and inspection queues (in development)
- Reports and audit trails (planned)
- Approved integrations (planned)
In developmentPlanned
Data integration
Actively being built and validated. Not yet generally available.Use the data that already exists.
Most operations already produce the data they need, spread across shipment systems, carrier portals, spreadsheets and telematics. The platform normalises shipments, vehicles, hubs and events into one operational model.
- Event-based model: every status change is an event with a time and a source
- Imports from files and APIs first; deeper connectors planned per partner
- Source of every value is kept, so operators can see where it came from
Trade intelligence and supplier matching
Being explored. Feasibility is not yet proven.Matching what buyers need with who can make it.
Research for SIWOM Global Trade: connecting international suppliers with Indian manufacturers and buyers across space, aerospace, robotics, automotive and green energy.
The goal is a structured record of what each supplier makes, the certifications they hold and the capacity they offer, so a buyer can search by part, material or process rather than by company name.
The same records could surface domestic alternatives: Indian manufacturers who may supply a component that is imported today. Matches are suggestions; the buyer always qualifies the supplier.
- Search by part, material, process and certification, not just by name
- Domestic-alternative suggestions for imported components
- Landed-cost estimates that include freight, duty and handling
- No automated purchasing: people choose and qualify every supplier
Trade documents and compliance
Being explored. Feasibility is not yet proven.Documents that travel with the goods.
Advanced-technology trade carries more paperwork than most freight: commercial documents, origin certificates, dangerous-goods declarations and, for many space, aerospace, drone and robotics items, export licences such as SCOMET authorisations from the DGFT.
The platform is meant to keep those documents attached to the shipment and visible at each handoff. It assists licensed customs brokers and compliance teams; it never decides classification or grants a licence.
- Checklists per shipment, built from the goods, route and destination
- Classification notes and licence references kept with the shipment
- Clear ownership: who must provide each document, and by when
- Audit trail of every document version and handoff
Space and specialised cargo
Being explored. Feasibility is not yet proven.Handling profiles for cargo that cannot be replaced.
Satellites, rocket stages and precision robotics need more than a tracking number. We are researching handling profiles that record shock, temperature, humidity and cleanliness limits, and how data from shipment loggers could confirm those limits were kept from clean room to launch site.
- Handling limits captured before the first quote
- Condition data from shipment loggers attached to each leg (planned)
- Oversized and dangerous-goods requirements carried through every mode
- Chain of custody recorded at each handoff
Mapping and geospatial
Actively being built and validated. Not yet generally available.Maps that respect what we know.
Operational views use schematic network maps that show hubs, routes and snapshot positions without implying GPS precision the data cannot support. Geographic basemaps are planned, using providers that depict India's official boundaries.
Computer vision
Being explored. Feasibility is not yet proven.Flag, never certify.
Our computer vision research focuses on visible conditions: possible damage on containers and assets, PPE, and people inside marked zones. Outputs are flags with a qualitative confidence band, routed to a qualified reviewer.
Ordinary cameras cannot see internal structural integrity, electrical safety or hidden material defects. Those need engineering inspection, specialised sensors and non-destructive testing.
Optimisation
Being explored. Feasibility is not yet proven.Suggestions operators can check.
Route and dispatch optimisation suggests options, such as which available vehicle suits a waiting load, and explains why. Operators accept, change or ignore every suggestion. We favour methods whose reasoning can be shown over ones that cannot.
Sensors and robotics
An ambition we are working toward. No build has started.A longer road, taken carefully.
Sensor networks, robotics integrations and digital twins are part of our long-term direction. Any work there would start with controlled pilots, alongside partners who own and operate the equipment, under their safety processes. SIWOM does not deploy robots today.
Security and access
Actively being built and validated. Not yet generally available.Our approach to security.
These are the practices we design for. They are intentions, not certifications.
Audit trails
Who changed what, and when, is recorded for operational and safety decisions.
Encryption
Data encrypted in transit and at rest.
Least-privilege integrations
Integrations use scoped credentials that can be rotated or revoked.
Data ownership
Customers own their operational data; retention is agreed per engagement.
Footage retention
Camera footage kept only as long as the site's policy allows.
Research areas
Being explored. Feasibility is not yet proven.Questions we are working on.
- Reliable ETAs when data arrives late, partial or from several sources
- Exception detection that ranks urgency without flooding operators
- Computer vision that degrades safely in rain, glare and low light
- Measuring false-alarm and miss rates honestly on each site's own data
- Digital twins that are useful at the scale of one yard or one warehouse